My name is Donglin Pu, a Software Engineer at Veritas Technologies LLC. I am currently working closely with Microsoft SQL Server and Microsoft Azure platform. On the SQL server side, I have learned and worked with SQL High Availability, Managed Backup, Reporting Services, as well as developing lot of SQL code. On Azure, I have become very familiar with the Azure Portal and have created/modified/monitored various of resources on Azure. I have configured and used Windows VMs, Azure Storage, SAS credentials, Load Balancers, Availability Set, etc. I have also wrote several PowerShell scripts for automating SQL deployment and configuration using Microsoft libraries like ReportingService2010 web service, and AzureRM PowerShell module.

Previously, I joined Veritas in 2015 as a summer intern (at that time, Veritas was part of Symantec). Then I continued working part-time during the 2015-2016 school year and becaome a full time Software Engineer in summer 2016. During these years, I have also worked on web development project using C# and WebGrid and automated testing project using Selenuim.

Here is my LinkedIn profile with more info: My professional profile on LinkedIn

Education

I graduated from University of Southern California in May 2016 with a Master's degree in Computer Science.

USC transcript
Course Grade Semester
CSCI 570 Analysis of Algorithms A Fall 2014
CSCI 585 Database Systems A- Fall 2014
CSCI 577A Software Engineering A Fall 2014
CSCI 577b Software Engineering A Spring 2015
CSCI 587 Geospatial Information Management B+ Fall 2015
CSCI 572 Information Retrieval and Web Search Engines A- Fall 2015
CSCI 561 Foundations of Artificial Intelligence C+ Spring 2016
GPA: 3.55

Past

I grew up in Beijing and went to the UK after high school. I obtained a Foundation Degree in Science and Engineering at Sheffield International College. Then graduated with a 2:1 Bachelor's degree in Computer Science at the University of Southampton.

During my free time and previous class projects, I have developed several web applications using Node JS, Python, Twitter Bootstrap, JavaScript, etc and used a few social network APIs including Facebook API, Twitter API, Google Map API. Please see the project page for details.

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